272 research outputs found
The Nash Equilibrium Revisited: Chaos and Complexity Hidden in Simplicity
The Nash Equilibrium is a much discussed, deceptively complex, method for the
analysis of non-cooperative games. If one reads many of the commonly available
definitions the description of the Nash Equilibrium is deceptively simple in
appearance. Modern research has discovered a number of new and important
complex properties of the Nash Equilibrium, some of which remain as
contemporary conundrums of extraordinary difficulty and complexity. Among the
recently discovered features which the Nash Equilibrium exhibits under various
conditions are heteroclinic Hamiltonian dynamics, a very complex asymptotic
structure in the context of two-player bi-matrix games and a number of
computationally complex or computationally intractable features in other
settings. This paper reviews those findings and then suggests how they may
inform various market prediction strategies.Comment: 13 Pages, 5th International Conference on Complex System
The Symmetries and Redundancies of Terror: Patterns in the Dark, A study of Terrorist Network Strategy and Structure
Although much political capital has been made regarding the war on terrorism,
and while appropriations have gotten underway, there has been a dearth of deep
work on counter-terrorism, and despite massive efforts by the federal
government, most cities and states do not have a robust response system. In
fact, most do not yet have a robust audit system with which to evaluate their
vulnerabilities or their responses. At the federal level there remain many
unresolved problems of coordination. One reason for this is the shift of much
of federal spending on war-fighting in Afghanistan and Iraq. While this
approach has drawn deep and lasting criticism, it is, in fact, in accord with
many principles of both military and corporate strategy. In the following paper
we explore several models of terrorist networks and the implications of both
the models and their substantive conclusions for combating terrorism.Comment: 13 pages, 3 figures. Proceedings of the 2004 annual meeting of the
North American Association for Computation in the Social and Organizational
Science
Emergent Properties of Terrorist Networks, Percolation and Social Narrative
In this paper, we have initiated an attempt to develop and understand the
driving mechanisms that underlie fourth-generation warfare. We have undertaken
this from a perspective of endeavoring to understand the drivers of these
events from a Complexity perspective by using a threshold-type percolation
model. We propose to integrate this strategic level model with tactical level
Big Data, behavioral, statistical projections via a fractal operational level
model and to construct a hierarchical framework that allows dynamic prediction.
Our initial study concentrates on this strategic level, i.e. a percolation
model.
Our main conclusion from this initial study is that extremist terrorist
events are not solely driven by the size of a supporting population within a
socio-geographical location but rather a combination of ideological factors
that also depends upon the involvement of the host population. This
involvement, through the social, political and psychological fabric of society,
not only contributes to the active participation of terrorists within society
but also directly contributes to and increases the likelihood of the occurrence
of terrorist events.
Our calculations demonstrate the links between Islamic extremist terrorist
events, the ideologies within the Muslim and non-Muslim population that
facilitates these terrorist events (such as Anti-Zionism) and anti-Semitic
occurrences of violence against the Jewish population.
In a future paper, we hope to extend the work undertaken to construct a
predictive model and extend our calculations to other forms of terrorism such
as Right Wing fundamentalist terrorist events within the USA.Comment: 9th International Conference on Complex Systems, 15 page
Ontological Determinism non-locality and the system problem in quantum mechanics
Wave functions live on configuration space. Schrodinger called this
entanglement. The linearity of the Schrodinger equation prevents the wave
function from representing reality. If the equation were non-linear (e.g.,
reduction models) the wave function living on configuration space still by
itself could not represent reality in physical space. In this paper, we
continue the line of reasoning discussed in our previous paper, "The
Fundamental Importance of Discourse in Theoretical Physics", [arXiv:1001.4111],
to explore the "measurement problem" in quantum mechanics. In particular we
present a new interpretation of quantum decoherence, and a novel critique of
the double slit experiment. In addition, we review the use of "determinism" in
the discourse of quantum mechanics, resolving the confusion created by theories
which attempt to restore determinism to quantum mechanics while confusing
determinism with ontological necessity. Finally, we review Bell's Theorem in
order to demonstrate that nonlocality is an inherent ontological quality of the
configuration space of the universe regardless of deterministic or
non-deterministic character of quantum mechanics.Comment: 14 pages, 8th International Conference on Complex System
Time, Uncertainty and Non-Locality in Quantum Cosmology
In this paper we build on our previous work and the work of Peter Lynds
within a Bohmian framework to consider the intervallic structure of
thermodynamic reversibility as well as presenting new considerations for the
measurement of uncertainty at cosmic scales. In addition we address the
fundamental nature of non-locality as an underlying element of cosmological
structure.Comment: 12 pages; 8th International Conference on Complex System
Comparative Quantum Cosmology: Causality, Singularity, and Boundary Conditions
In this review article we compare the recent work of Peter Lynds, "On a
finite universe with no beginning or end", with that of Stephen Hawking,
primarily "Quantum Cosmology, M-Theory, and the Anthropic Principle", and two
foundational works by Sean M. Carroll and Jennifer Chen, "Does Inflation
Provide Natural Conditions for the Universe" and "Spontaneous Inflation and the
Origin of the Arrow of Time", in order to evaluate their comparative treatments
of the nature and role of causality, time ordering, thermodynamic
reversibility, singularities and boundary conditions in the formation of the
early universe. We briefly reference Smolin and Kauffman's recent arguments
with respect to possible processes of "evolutionary selection" in early
universe formation as an alternative explanation to key elements of Hawking's
earlier "M-Theory", and its attendant anthropic principle. We also briefly
excerpt a short section of Smolin's recent work on topology in quantum loop
gravity, simply as an illustrative example of the type of complex quantum
topological transformation which he offers as a theoretical alternative to
string theory in quantum cosmology.Comment: 17 pages, 2 figures. 7th International Conference on Complex System
Ontological Determinism, non-locality, quantum equilibrium and post-quantum mechanics
In this paper, we extend our previous discussion on ontological determinism,
non-locality and quantum mechanics to that of the Sarfatti post-quantum
mechanics perspective. We examine the nature of quantum equilibrium and
non-equilibrium and uncertainty following the Sarfatti description of this
theoretical development, which serves to extend the statistical linear unitary
quantum mechanics for closed systems to a locally-retrocausal, non-statistical,
non-linear, non-unitary theory for open systems. We discuss how the Bohmian
quantum potential has a dependence upon the position of its Bell beable and how
Complexity mathematics describes the self-organizing feedback between the
quantum potential and its beable allowing nonlocal communication.Comment: 9th International Conference on Complex Systems, Cambridge, MA July,
2018 8 page
Disrupting Terrorist Networks, a dynamic fitness landscape approach
Over a period of approximately five years, Pankaj Ghemawat of Harvard
Business School and Daniel Levinthal of the Wharton School have been working on
a detailed simulation (producing approximately a million fitness landscape
graphs) in order to determine optimal patterns of decision-making for
corporations. In 2006, we adapted this study, combining it with our own work on
terrorism to examine what would happen if we inverted Ghemawat and Levinthal's
findings and sought to provide disinformation or otherwise interfere with the
communications and decision processes of terrorist organizations in order to
optimize poor decision making and inefficiencies in organizational
coordination, command and control.
The bulk of this study was then presented at the 2006 annual meeting of the
North American Association for Computation in the Social and Organizational
Sciences. We present here an updated version of that study, emphasizing the
rather counter-intuitive finding that "soft" targets have almost no value and
that unless one can influence key factors, an effort directed at the easy to
reach elements of terrorist organizations may actually be worse than mounting
no effort at all. We conclude with the recommendation that some fundamental
rethinking may be required if the United States is to effectively defend itself
from future terrorist attacks.Comment: 12 pages, 8 figures. Proceedings of the 2006 annual meeting of the
North American Association for Computation in the Social and Organizational
Science
Dynamic modeling of competing technology designs, pricing and consumer dynamics
The modeling of technology succession and new technology adoption includes a
wide array of techniques from complexity theory. In our previous work, we
applied the results of the Windrum-Birchenhall model to technology policy and
technology development strategies. However, as we began to explore the
Windrum-Birchenhall simulation we discovered significant limitations in their
model and felt that a new model was needed which could accommodate simultaneous
macro and micro-level events in order effectively simulate market volatilities.
The following paper discusses the architecture of the new model of
technological succession developed at the Southern New Hampshire University
International Business Modeling Laboratory and explains results from early
simulation runs. We continue to develop this model and expect to have
additional applications and simulation results as our research progresses.Comment: 9 pages, 6 figures. Proceedings of the 2006 annual meeting of the
North American Association for Computation in the Social and Organizational
Science
Adaptation and Coevolution on an Emergent Global Competitive Landscape
Notions of Darwinian selection have been implicit in economic theory for at
least sixty years. Richard Nelson and Sidney Winter have argued that while
evolutionary thinking was prevalent in prewar economics, the postwar
Neoclassical school became almost entirely preoccupied with equilibrium
conditions and their mathematical conditions. One of the problems with the
economic interpretation of firm selection through competition has been a weak
grasp on an incomplete scientific paradigm. As I.F. Price notes, "The
biological metaphor has long lurked in the background of management theory
largely because the message of 'survival of the fittest' (usually wrongly
attributed to Charles Darwin rather than Herbert Spencer) provides a seemingly
natural model for market competition (e.g. Alchian 1950, Merrell 1984,
Henderson 1989, Moore 1993), without seriously challenging the underlying
paradigms of what an organisation is." In this paper we examine the application
of dynamic fitness landscape models to economic theory, particularly the theory
of technology substitution, drawing on recent work by Kauffman, Arthur,
McKelvey, Nelson and Winter, and Windrum and Birchenhall. In particular we use
Professor Post's early work with John Holland on the genetic algorithm to
explain some of the key differences between static and dynamic approaches to
economic modeling.Comment: 16 pages, 5th International Conference on Complex System
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